Degrees and courses in Data Science
A year ago, I saw this announcement in the Harvard Yard:
Right now (May 2019) undergraduates at Harvard still can't major in Data Science, but they can take related courses in departments including Statistics, Computer Science and - as the photo proves - Government.
Interestingly, if you are high school student you could think about pursuing one of the following:
And there are dozens of similar options out there for undergraduates, although the institutions I am most familiar with do not offer in BA/BS degrees in data science right now:
Prospective graduate students do have options at both Harvard and NYU:
In a viral thread Rochelle Terman asked a few days "When teaching R, how far to you go? Should you cover object-oriented programming, compiling in C, assembly, electric circuits and motherboards?"
2) What is the end goal of methods training? Which people deserve to be taught? What is the intention behind teaching "technical details", and how does it actually function with our students? 17/n— Rochelle Terman (@RochelleTerman) May 10, 2019
In my opinion, the beauty of many data science courses is precisely that some technical aspects are skipped when there isn't a clear a pedagogical justification for them.
What Terman describes as computational social science (CSS) encapsulates proficiency in R, python, git, webscraping, web development, machine learning, text-as-data. Add that visualization and story-telling, and CSS starts to look a lot like data science. A very valuable set of skills, in my opinion.